ChatGPT for Managers
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Updated with GPT-4o information, and fine-tuning GPT-4o mini demo, this foundational course covers the fundamentals of ChatGPT that will help you confidently use ChatGPT in your organization. Make ChatGPT your trusted ally in leading your projects and organization. Master prompt engineering to get what you want out of ChatGPT. You will manage your projects better with the power of generative AI helping you with task allocation, project communications, risk management, project reports and conflicts resolution. The same data you had earlier will look different and provide better actionable insights as you apply statistical, predictive and prescriptive analytics without writing a single line of code.
The course is hands-on with demos at every step, so you practice what you learn. Latest GPT-4o demo is also added.
With this course, not only understand Large Language Models(LLMs) but also extend them using AI assistants, custom GPTs and building your own AI agents. Future of AI is not in building LLMs but using AI Agents to extend already existing LLMs. Add tasks to a project management tools like Asana, generate and send project reports using gmail without writing any code.
Navigate security of your data with confidence. Analyze Ethical dilemmas and learn about the ethical boundaries set for AI innovation. Do you need an AI tool for a new problem, you have that covered in the course. With the super power granted to you by ChatGPT, take your career and your organization beyond what is possible.
Embark on this journey with ChatGPT and turn the once-impossible into your new reality.
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1IntroductionВидео урок
Introduction to the course and this lesson
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2Course StructureВидео урок
Describes the course structure for the ChatGPT for Managers course
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3Course PrerequisitesВидео урок
Prerequisites for taking this course
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4What is Generative AI?Видео урок
Generative AI is behind the tools like chatGPT, this gives sheds light on Generative AI
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5DemoВидео урок
Dive into chatGPT with an information demo for a manager
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6Capstone Project DemoВидео урок
At the end of the course, you will do a capstone project, interfacing with project management tool Asana and sending email using gmail. This gives a demo of that project implementation.
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7chatGPT Pricing - Updated for GPT-4oВидео урок
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8TemperatureВидео урок
Provides information about temperature in AI models
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9ContextВидео урок
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10*Special Thanks*Видео урок
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11Things to Remember and ActivitiesВидео урок
Summary of this lesson
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12OpenAI spring update - introducing GPT-4oВидео урок
openAI made an announcement on May 13,2024 introducing the new model GPT-4o (o for omni), making it also free for all users. This means, most lessons and demos in this course can be done with the free version. The openAI APIs are still not free, so those demos may not be possible.
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13Demo - GPT-4o featuresВидео урок
This is our first demo of GPT-4o that showcases the features that were not free earlier.
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14Some Resources For the CourseТекст урока
Some data files used in some of the demos. If some file is missing, please let me know.
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15IntroductionВидео урок
Introduction to prompt engineering
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16What is Prompt EngineeringВидео урок
Answers the question what is prompt engineering.
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17Why Prompt Engineer?Видео урок
Why do organizations need prompt engineers?
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18The Elements of a Good PromptВидео урок
What constitutes a good prompt? What do I want from chatGPT?
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19Who am I asking?Видео урок
Who am I asking? Narrowing down chatGPT capabilities.
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20Who is asking?Видео урок
Who is asking the question? An expert or a novice?
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21What do I already know?Видео урок
What do I already know? Facilitate chatGPT to narrow down its answer
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22Is there a Formula?Видео урок
Is there a prompt formula?
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23Is it a Hype?Видео урок
What is all the hype around prompt engineering?
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24Prompt GeneratorsВидео урок
Use Prompt Generators to build better prompts
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25Quality ControlВидео урок
It is always good to check the quality of your prompt
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26Prompt OverfittingВидео урок
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27Things to RememberВидео урок
Summary of the lesson
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28Practice ActivitiesТекст урока
Practice what you learnt in this lesson
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29IntroductionВидео урок
Introducing chatGPT into IT Project Management
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30chatGPT as Digital AssistantВидео урок
A digital assistant to collaborate
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31Enhance CommunicationВидео урок
Enhance communication using ChatGPT
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32Decision SupportВидео урок
Decision support using ChatGPT
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33Project Planning & ExecutionВидео урок
Use ChatGPT for project planning and execution
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34Innovation & CreativityВидео урок
Add innovation and creativity to your projects using ChatGPT
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35Data AnalysisВидео урок
Analyze project data using ChatGPT
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36Things to RememberВидео урок
Summary of the lesson
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37Activities to PracticeВидео урок
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38IntroductionВидео урок
Introduction
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39Data Analysis DemoВидео урок
A detailed data analysis demo
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40Loading data into chatGPTВидео урок
Loading data into chatGPT
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41Exploratory data analysisВидео урок
Exploratory data analysis with ChatGPT
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42Statistical data analysisВидео урок
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43Chi-Square Test DemoВидео урок
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44Predictive Analysis & its Applications in Various IndustriesВидео урок
Illustrates predictive analysis and its applications
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45Prescriptive AnalysisВидео урок
Talks about prescriptive analysis of data
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46SQL Data Query demo(Query mysql database zip archive)Видео урок
Analyse data in a mysql zip archive
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47Format Conversion demo (Json file to Excel)Видео урок
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48Things to remember & ActivitiesВидео урок
Summary and activities to try
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49IntroductionВидео урок
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50What is LLM?Видео урок
Explains the concept of Large Language Models
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51Transformer ArchitectureВидео урок
Explains transformer architecture used to build LLMs
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52Self Attention MechanismВидео урок
Self Attentiona Mechanism, a key concept in LLMs
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53Generative CapabilityВидео урок
Demonstrates generative capability of LLMs
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54Can I build my own LLM?Видео урок
Is it possible to build own LLM?
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55Langchain FrameworkВидео урок
Explains Langchain Framework for extending LLMs
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56PluginsВидео урок
Plugins in chatGPT
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57Future Trends in LLMsВидео урок
What is in the future for LLMs?
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58openAI API DemoВидео урок
A demo of building an openAI program with the latest APIs
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59Langchain DemoВидео урок
Demo of using Langchain to extend LLMs
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60Custom GPT IntroductionВидео урок
Introduction to customGPT
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61custom GPT demo 1Видео урок
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62custom GPT demo 2Видео урок
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63custom GPT demo 3Видео урок
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64AI AgentsВидео урок
AI Agents: A revolutionary idea towards extending LLMs
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65AI Agents: Points to PonderВидео урок
AI Agents: Some points to think about
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66Assistants APIВидео урок
Explains new assistants API
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67Assistants API Demo 1Видео урок
Demo of assistants API
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68Assistants API Demo 2Видео урок
Demo of Assistants API
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69Assistants API Demo 3Видео урок
Demo of Assistants API
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70openAI PlaygrondВидео урок
Using the openAI playground platform to create assistants
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71Model UpdatesВидео урок
Talks about updates to AI Models
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72Model Fine TuningВидео урок
Talks about finetuning of AI Models and introduces you to the fine tuning demo
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73Model Fine Tuning Demo - Fine Tune GPT-4o Mini Model for FreeВидео урок
In this demo, we prepare data for finetuning, upload the data to openAI, create a finetuning model and test it. Note that creation of finetuning model is free up to 2M tokens for GPT-4o mini until Sep 23,2024. You can do it on the openAI platform playground without writing any code.
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74Model Fine Tuning - ConclusionВидео урок
What did we learn from the model finetuning demo? Key take aways.
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75Real Time Applications and ChatGPTВидео урок
Is ChatGPT suitable for real time applications?
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76Things to RememberВидео урок
Summary of the lesson
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77ActivitiesВидео урок
Practice activities
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78IntroductionВидео урок
Introduction to Ethics and security
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79Perils of InnovationВидео урок
Innovations that cause harm to humanity
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80Chaining InnovationВидео урок
Some innovations that were unnecessarily restricted
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81Ethical BoundariesВидео урок
Attempts to restrict AI
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82Middle GroundВидео урок
The compromise between extreme restrictions and room for innovation
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83Data Security with chatGPTВидео урок
Securing your data while using ChatGPT
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84Demo: Ethical RestrictionsВидео урок
A demo of a privacy policy
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85Things to Remember and Activities to PracticeВидео урок
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86Open AI Model Spec - Ethical GuidelinesВидео урок
On May 8, 2024, Open AI made public the model spec adopted by their AI models including chatGPT and Assistants. They also opened it up for feedback from the public. In this lecture, I go over the model spec as it is very important from the point of view of ethical standards being followed by open AI.